h2oai/h2ogpt-32k-codellama-34b-instruct
The h2oai/h2ogpt-32k-codellama-34b-instruct model is a 34 billion parameter instruction-tuned Code Llama variant developed by h2oai. It features an extended context length of 32,768 tokens, primarily achieved through configuration adjustments to enable 32k sequence length in vLLM. This model is designed for code-related tasks and general instruction following, building upon the capabilities of its 16k context predecessor.
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h2oai/h2ogpt-32k-codellama-34b-instruct Overview
This model is an instruction-tuned variant of the 34 billion parameter Code Llama architecture, developed by h2oai. It is functionally similar to the h2oai/h2ogpt-16k-codellama-34b-instruct model but distinguishes itself by supporting an extended context window of 32,768 tokens. This increased context length is primarily facilitated by modifications to its config.json file, allowing for larger sequence lengths when deployed with vLLM, even though its core training might align with a 16k context.
Key Capabilities
- Extended Context Window: Supports up to 32,768 tokens, beneficial for processing longer code snippets, extensive documentation, or complex multi-turn conversations.
- Instruction Following: Fine-tuned to understand and execute a wide range of instructions.
- Code-centric: Inherits the strong code generation and understanding capabilities of the Code Llama base model.
Good For
- Long-form Code Generation: Ideal for generating or analyzing large blocks of code where a deep understanding of the surrounding context is crucial.
- Complex Technical Documentation: Processing and summarizing extensive technical documents or codebases.
- Advanced Code Assistants: Building applications that require understanding and responding to detailed, multi-part coding queries.